Optimization

Evolution Strategy (ES): The basic algorithm in Python
Evolution Strategy (ES): With single adaptive mutation step-size in Python
Hill Climbing: This is a logal search algorithm that always tries to go up the hill of the fitness landspace. However, it gets stuck into local maxima. The Python code along an example is provided here.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
README.md		README.md
evolution strategy-basic algorithm -1D-for github.ipynb		evolution strategy-basic algorithm -1D-for github.ipynb
evolution strategy-nD-with single adaptive mutation step size-for github.ipynb		evolution strategy-nD-with single adaptive mutation step size-for github.ipynb
hill climbing-for github.ipynb		hill climbing-for github.ipynb

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